Senior Data Scientist

Reporting to: Director of Engineering

Responsible for researching, planning, testing and implementing statistical data models to integrate into the IndustrialML platform. Interfaces with co-workers and customer representatives at factories to acquire and understand the nuances of video, image and quantitative data. Gathers and augments collected data for the purpose of training models, and validates, tests and updates models regularly using any available machine learning and data science tools.

If you are a driven, curious individual who is excited about ground-level data science in manufacturing environments and wants to help an early-stage team solve challenging problems, reply and let us know!

Duties and Responsibilities:

DATA SCIENCE:

  • Interface with industrial customers to understand challenges and key metrics to optimize for different kinds of factories
  • Recommend and implement data collection methods as necessary
  • Mine and clean collected data
  • Design and develop scalable data models and algorithms
  • Test, validate, maintain and improve developed models
  • Implement trained models into operations on the IndustrialML platform
  • Help customer and internal stakeholders understand the potential and limitations of data modeling for new applications

GENERAL:

  • Participate in strategic planning activities for the company
  • Participate in customer meetings or marketing activities from a technical perspective, as necessary
  • Promote a work environment consistent with the company's core values

Desired Experience:

  • Proven record of deriving value from large, disjoint data sets
    • At least 2 years of industry experience defining, building, and deploying self-learning data models
  • Experience working in a team environment with a customer-deployed end product
  • Proven experience as a Data Scientist or similar role
  • BSc in Statistics, Mathematics or similar field; Master's degree is a plus.
    • Sufficient relevant experience will be considered in lieu of Statistics degree
  • Familiarity with statistical and data mining techniques (GLM/regression, random forest, boosting, trees, etc.)
  • Ability to write and debug code using statistical languages (Python, R, Matlab, etc.)
  • Understanding of data structures, machine learning and software architecture

Skills:

  • Deep knowledge of math, probability, statistics and algorithms
  • Strong leader, strategic thinker and problem solver
  • Well organized, disciplined and self-motivated, capable of balancing multiple priorities
  • Ability to effectively communicate with internal company personnel, vendors and customers with equal effectiveness, professionalism and positivity
  • Flexibility in handling responsibilities outside your comfort zone
  • Familiarity managing evolving goals and milestones in an agile development environment (such as JIRA)

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